Instructions to use mrm8488/t5-base-finetuned-break_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/t5-base-finetuned-break_data with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mrm8488/t5-base-finetuned-break_data") model = AutoModelForSeq2SeqLM.from_pretrained("mrm8488/t5-base-finetuned-break_data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Update README.md
07edfcf
-
allow flax
94223e0
-
Migrate model card from transformers-repo
Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/mrm8488/t5-base-finetuned-break_data/README.mdbdb3768
-
Update tokenizer_config.json
b189cb4 -
Update config.json
c287cfe -
Update spiece.model
6b81f27 -
Update special_tokens_map.json
ee499c1 -
Update training_args.bin
4f4aaab -
Update pytorch_model.bin
3223cbe -
initial commit
cbdfbae